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Blockchain Simulation Environment on Multi-image Encryption for Smart Farming Application

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Advances in Intelligent Networking and Collaborative Systems (INCoS 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 312))

Abstract

The certainty of food provenance on the agriculture ecosystem brings one of the most popular research topics to smart farming. The global epidemic enforces consumers to be warned of the originality of food supply. Various technology unification is included to address this problem. Heterogeneous IoT sensors for sensing agricultural or plantation land provide system automation and monitoring for certain commodities. Sensor data and captured images of surveillance cameras are the results of IoT devices sensing capability. However, the originality of the data being stored is questioned; even worse, the data records are deleted. Such as problems occur due to several things: network congestion, device reliability, storage media, and operator. One of the findings proposed in this research is storing sensing results from each sensor and camera surveillance to a global database that is decentralized, immutable, and synchronized, known as the blockchain. All the parties involved in the smart farming system, such as farmers, food suppliers, and customers, are connected to a global blockchain network. Multi-Image Encryption (MIE) yields to secure the authenticity of captured images from multiple cameras. A specific MIE algorithm will compile and randomized the captured image from cameras to produce an encrypted image stored in the blockchain database with a unique identifier. This study provides a simulated model of blockchain technology that can be implemented in a smart farming environment using Ganache as the test net. In the smart contract, every entity connected to the blockchain network appears as a node account that is digitally assigned based on each role. Therefore, the transaction was successfully done from one node to the others. This research is the initial stages of implementing a smart farming system into the unification of various technology in the development of sustainable agriculture.

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Acknowledgments

The authors gratefully acknowledge the support by the Kyushu Institute of Technology.

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Authors and Affiliations

  1. Faculty of Computer Science and Systems Engineering (CSSE), Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka, 820-8502, Japan

    Irawan Widi Widayat & Mario Köppen

Authors
  1. Irawan Widi Widayat
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  2. Mario Köppen
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Corresponding author

Correspondence to Irawan Widi Widayat .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan

    Hsing-Chung Chen

  3. School of Science and Technology, Kwansei Gakuin University, Sanda, Japan

    Hiroyoshi Miwa

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Widi Widayat, I., Köppen, M. (2022). Blockchain Simulation Environment on Multi-image Encryption for Smart Farming Application. In: Barolli, L., Chen, HC., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2021. Lecture Notes in Networks and Systems, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-030-84910-8_33

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